Global Head of Marketing Data & Insights, MD

State Street•Boston, MA

About The Position

The Global Head of Marketing Data & Insights leads marketing analytics, measurement and insights across the organization and reports to the Head of Digital Strategy & Channel Performance, Senior Vice President. This leader sets the vision and practical roadmap for marketing data and analytics, helping marketers and business partners understand performance, make better budget decisions and connect analysis to business results. The role builds a consistent, trusted analytics capability and a growth-minded culture that turns insight into action, while advancing the responsible use of AI and automation to accelerate decisions and improve campaign planning, execution and optimization. The role is accountable for establishing shared measures across brand, reputation, engagement, client journeys, campaigns, channels, pipeline and business outcomes; creating clear executive and campaign-level reporting; and building self-service dashboards, alerts and automated insight generation. It develops test-and-learn practices and fit-for-purpose measurement, including attribution, incrementality and experimentation, to improve marketing effectiveness and investment decisions. The leader combines behavioral, digital, client relationship, sales, product, research and market data to understand audiences, identify patterns and surface trends and growth opportunities. The position partners with data, technology, operations and control teams to improve data quality, access, integration and reporting; defines business requirements and practical standards; and modernizes reporting with reusable data products, automation and AI-assisted insights. It leads and develops a strong global team, builds trusted partnerships with senior leaders and manages data, analytics, technology and vendor relationships. Privacy, risk, legal, compliance and information security considerations are integrated into the work, with appropriate governance, review, monitoring and human judgment for advanced analytics and AI.

Requirements

12+ years of experience in marketing analytics, measurement, data strategy, audience insights or a related field, including experience leading teams and building capabilities.
Experience in financial services or another highly regulated industry, with a practical understanding of privacy, risk and controls.
A strong record of solving business and marketing problems with data, not simply producing reports.
Deep knowledge of marketing measurement, including key performance measures, attribution, incrementality, experimentation, benchmarking and optimization.
Experience using customer, behavioral and market data to identify trends, explain performance and improve marketing decisions.
A track record of partnering with data engineering, data science, technology and operations teams to improve data access, quality, integration and reporting.
Experience setting visualization standards and delivering automated, self-service dashboards for executive, strategic and campaign-level audiences.
Ability to turn complex analysis into clear stories, recommendations and choices for senior leaders and non-technical audiences.
Experience building or transforming an analytics, measurement or insights function and developing strong, globally distributed teams.
Collaborative leadership style, sound business judgment and confidence to challenge assumptions constructively.
Experience applying advanced analytics and AI-enabled tools to automate insight, support decisions and improve marketing performance.

Responsibilities

Set a clear vision and practical roadmap for marketing data, analytics, measurement and insights.
Prioritize analytics work around important business questions and decisions.
Define a practical AI agenda for marketing analytics, identifying high-value use cases that can demonstrate impact and scale.
Monitor external measurement practices, data capabilities and AI tools and apply them where they add value.
Create shared measures across brand, reputation, audience engagement, client journeys, campaigns, channels, pipeline and business outcomes.
Set visualization standards that make complex findings clear and actionable.
Guide automated dashboards for executives and marketers making in-flight campaign decisions.
Build self-service reporting and timely alerts while reducing unnecessary manual work.
Match measurement methods and detail to the decisions being made.
Build a disciplined test-and-learn approach using attribution, incrementality, experiments, benchmarks and other fit-for-purpose methods.
Translate analysis into recommendations for campaigns, channels, content, audiences and investment.
Partner with marketers and business teams to identify opportunities, test ideas and improve reach, engagement, conversion and efficiency.
Combine behavioral, digital, client relationship, sales, product, research and market data to improve understanding of audiences and clients.
Identify useful segments, behaviors and patterns and surface trends, emerging needs and growth opportunities.
Partner with data, technology and operations teams to make marketing data reliable, connected and accessible.
Define business requirements for data, semantic models, dashboards and marketing technology, making effective use of current tools.
Modernize reporting using reusable data products, automation and AI-assisted insight generation.
Establish practical standards for data trust, measure definitions and consistent use.
Lead marketing analytics, measurement and insights with clear priorities, roles and ways of working.
Develop shared methods, tools and standards to improve quality and speed.
Hire, coach and develop a strong global team.
Partner with Privacy, Legal, Risk, Compliance and Information Security to ensure data use, measurement, performance claims and AI-enabled analytics meet standards.
Build documentation, testing and clear ownership into analytics work.
Apply advanced analytics and AI responsibly, with appropriate review, monitoring and human judgment.
Enable controlled pilots and rapid learning while maintaining trust and governance.
Advise senior leaders across Marketing and the businesses, bringing evidence and a clear point of view to decisions.
Align Marketing, Finance, Sales and Distribution, Technology, Operations and control partners around shared questions and priorities.
Manage data, analytics, technology and vendor relationships with a focus on impact, quality and value.